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We were troubleshooting some performance issues of fluentd in an Openshift cluster, and experimented with running the Rbspy sampling profiler on a running fluentd pod when we had full queues. See attached flamegraph. We see that a block in "add_elasticsearch_index_name_field" is active in 35% of sampled stack frames.
Note: in the end it seems our main bottleneck was a slow syslog server, so maybe this does not indicate an issue for any users.
I figured I would at least report it, since it could be an interesting data point.
We were troubleshooting some performance issues of fluentd in an Openshift cluster, and experimented with running the Rbspy sampling profiler on a running fluentd pod when we had full queues. See attached flamegraph. We see that a block in "add_elasticsearch_index_name_field" is active in 35% of sampled stack frames.
Note: in the end it seems our main bottleneck was a slow syslog server, so maybe this does not indicate an issue for any users.
I figured I would at least report it, since it could be an interesting data point.
I'm not a Ruby developer, but just skimming this
https://www.monitis.com/blog/20-ruby-performance-tips/
I would guess it could have something to do with date parsing when constructing the "elasticsearch_index_name"